搜索资源列表
GA_PID
- 遗传算法优化PID，解决传统的PID参数采用试凑的方式的问题，从而进行自整定参数- Genetic Algorithm PID，Solve using traditional PID parameters of trial and error approach problems in order to be self-tuning parameters
yichuan
- 使用遗传算法优化PID参数，运行yichuan.m文件，修改模型在test文件中-PID parameter optimization using genetic algorithms, run yichuan.m file, modify the model in the test file
guangpan3
- 《MATLAB智能算法超级学习手册》随书光盘，《MATLAB智能算法超级学习手册》的内容主要包括马尔科夫链模型、层次分析法、粒子群算法、遗传算法、蚁群算法、鱼群算法、PID控制算法、神经网络算法等。智能算法对于很多初学者而言，有一定的困难，很难理解程序流程、数据的运算过程，因此给实际应用带来困难。本书将围绕智能算法展开综述，深入浅出地介绍和分析各类智能算法，用智能算法解决工程应用问题。-Content " MATLAB super intelligent algorithm to stu
QGA
- 本程序在matlab环境下，基于量子遗传算法对pid控制器进行优化控制,从而完成性能更优-The program in matlab environment, based on quantum genetic algorithm to optimize control of pid controller, thus completing the better performance
shenjingwanglouzhongheyingyong
- 神经网络综合应用 主要有BP神经网络的应用、PID神经网络的控制、遗传算法优化神经网络、模糊神经网络、概率神经网络-Neural network integrated applications are mainly controlled BP neural network applications, PID neural networks, genetic algorithm optimization of neural networks, fuzzy neural network, proba
Intelligent-control-of-courseware
- 自能控制介绍包括模糊控制，神经网络控制，遗传算法，自持向量机，智能控制算法，PID神经网络控制-Self introduction can control including fuzzy control, neural network control, genetic algorithm, self-sustaining vector machine, intelligent control algorithm, PID neural network control
RBF-NN_GA
- 基于MATLAB编写的基于遗传算法的RBF-NN训练程序-Based on the PID controller based on genetic algorithm RBF-NN MATLAB_SIMULINK prepared
ant-colony-algorithm-Matlab-code
- 蚁群算法是一种模拟进化算法，初步的研究表明该算法具有许多优良的性质。针对PID控制器参数优化设计问题，将蚁群算法设计的结果与遗传算法设计的结果进行了比较，数值仿真结果表明，蚁群算法具有一种新的模拟进化优化方法的有效性和应用价值。该算法可用于优化问题求解。-Ant Colony Algorithm papers and source code for solving optimization problems
chap10_3
- 函数功能是基于实数编码遗传算法的PID整定-Function function is based on real-coded genetic algorithm tuning PID
chap10_4
- 函数功能是基于二进制编码遗传算法的PID整定-Function function is based on the binary-coded genetic algorithms for PID tuning
chap10_5
- 程序的功能是：基于自适应在线遗传算法整定的PID控制-Functions of the program are: genetic algorithm based on adaptive online tuning PID control
nice
- 除了蚁群算法，可用于PID参数优化的智能算法还有很多，比如遗传算法、模拟退火算法、粒子群算法、人工鱼群算法，等等。-In addition to the ant colony algorithm, can be used to optimize the PID parameters, there are many intelligent algorithms, such as genetic algorithms, simulated annealing algorithm, particle
m572a
- PID与遗传算法，为进行pid参数整定，首先设置采样周期t，后建立带零阶保持器的连续对象的离散化模型，最后转化为差分方程-PID and genetic algorithm for the conduct of pid parameter setting, first set the sampling period t, after the establishment of discrete model with a continuous target of zero-order hold, a
PID_GA_simple
- 利用遗传算法（实数编码）实现一阶滞后模型的PID参数寻优自整定，可以在工程中使用-Using genetic algorithms (real coding) to achieve the first-order lag model of PID parameter optimization auto-tuning can be used in the project!
GA
- 遗传算法主要用于实现基于遗传算法的pid控制，利用对pid参数进行控制。-Mainly used to implement pid control based on genetic algorithm, genetic algorithm pid parameter control.
intelligent-control
- 文件包含遗传算法，神经网络算法仿真，模糊PID算法等仿真，仿真结果电子文档，分析详细，所得结果都有截图。-Files contain genetic algorithms, neural network algorithm simulation, fuzzy PID algorithm simulation results of electronic documents, detailed analysis, the results have screenshots.
GA
- 遗传算法pid参数优化的源程序代码，可以用该代码优化参数-GA optimization
PSO
- 粒子群优化算法与遗传算法结合，实现PID控制-PSO and genetic algorithm combined to achieve PID control
qaimou
- 详细画出了时域和频域的相关图，用MATLAB编写的遗传算法路径规划，IMC-PID是利用内模控制原理来对PID参数进行计算。- Correlation diagram shown in detail the time domain and frequency domain, Genetic algorithms using MATLAB path planning, The IMC- PID is using the internal model control principle for PI
intelligent-control
- 智能控制,包括神经网络，遗传算法，PID控制算法等- intelligent control